Seattle, WAremote

Salary
$180,000–$240,000from the description
Posted
Jul 23, 2026
Location
Seattle, WA
Last confirmed open
Jul 25, 2026

What this job asks for AI summary

A senior hands-on engineering role split between building a core AI platform and deploying it directly within customer environments. The engineer owns the full arc from discovery through production — designing backend services, APIs, integrations, and AI-enabled workflows (including LLM-based approaches) while embedding with customer teams to surface requirements and feed insights back into the platform. Suits an experienced engineer comfortable setting technical direction in ambiguous, security-conscious settings.

Staff level · 8+ years · Full-time

Must have (6)
LLMsRAGdistributed systemsAPIsdata pipelinescloud infrastructure
Nice to have (13)
AWS, Azure or GCPKubernetesTerraformDockerCI/CDobservabilityAI agentsevalsguardrailsretrieval systemsmodel deploymentidentity and access managementaudit logging

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What gives you an edge
RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
cloud infrastructure50%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

Location is not specified in the posting; no CBSA or state could be determined. The role may be remote or location-flexible, but the JD does not explicitly state fully remote — it notes 'some travel to customers may be required,' suggesting a physical presence component.

The Requirements section names AI/ML and LLM techniques (RAG, guardrails, evals) as required capabilities but does not gate on any specific named framework or cloud platform — those appear only under Preferred Qualifications and are marked accordingly.

Backend engineering, distributed systems, APIs, data pipelines, and cloud infrastructure are listed together in a single Requirements bullet as an 'or' list of experience areas; they are marked required because they sit in the Requirements section, though a candidate strong in any subset would likely qualify.

The seniority is assessed as Staff (not Senior) because the JD explicitly titles the role 'Staff Software Engineer' and describes cross-team technical direction-setting, architecture ownership, and shaping platform roadmap — scope that genuinely exceeds a typical Senior IC role.

Salary range of $180,000–$240,000/year is stated explicitly in the posting.

Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): backend engineering, workflow orchestration, data governance.

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